Machine Technical

SUNIL KRISHNA MANDADAPU

Contact: 967-***-**** ~ E-Mail: *****.*************@*****.***

Objective

To touch the zenith of career by converting my innovative ideas into fruitful results and to work in cutting-edge competitive industry and challenging work environment to conduce the best of my ability towards the growth and development of the organization. PROFESSIONAL SUMMARY

• Proficient in JAVA Programming.

• Basic Understanding of UNIX operating System.

• Good knowledge of Software Development Life Cycle.

• Good experience in c programming and Data Structures.

• Deep understanding regarding software development environments like requirement analysis, system study, designing, coding, testing, de-bugging, documentation, implementation and maintenance

• Excellent in presenting and make people understand SKILLS

EDUCATION

Degree/School School/College/Board/University Percentage B.Tech JNTUH 67%

12

th

Sri Narayana Jr.college-BIE 80%

10th

Kakatiya Techno School 82%

Key Skills C,C++,Java

Database Oracle

Operating Systems Windows, Linux

Tool JDK,Eclipse IDE

Academic Project Details:

Project Title: BREAST CANCER DETECTION BY USING DEEP LEARNING Technical Competency: Windows

Statistical Techniques used:

Python-3,Numpy,Pandas,Sklearn,Matplotlib,Seaborn, Naive Bayes Algorithm, Support Vector Machine (SVM), K-Nearest Neighbor algorithm(KNN).

Description: For detecting breast cancer mostly machine learning techniques are used. we proposed adaptive ensemble voting method for diagnosed breast cancer using Wisconsin Breast Cancer database. The aim of this work is to compare and explain how CNN and logistic algorithm provide better solution when its work with ensemble machine learning algorithms for diagnosing breast cancer even the variables are reduced.

Key Responsibilities:

• Many machine learning algorithms are available for prediction and diagnosis of breast cancer.

• We used proposed Ensemble Voting method and compute best method for diagnosis breast cancer disease.

• In this stage we have first implement logistic algorithm on these dataset and the implement Neural Network algorithm individual then we are implement Voting Ensemble algorithm for combine these results and an compute the final accuracy.

• proposed method is showing with the 98.50% accuracy. SCHOLASTIC ACHIEVEMENTS

• Event organizer for an event called “Crypt ur mind”, a technical event of “pragnya-17 V 2.0”

• Awarded 2nd

prize in national level science fair conducted by ISRO in 2012.

• Awarded 1st

prize in district level science fair in 2012.

• Among the top 400 students who qualified for Indian National Mathematics Olympiad (INMO) in the year 2011-12.

EXTRA CURRICULAR ACTIVITIES

• Attended Technical workshop on Ethical Hacking at IIT Hyderabad.

• Attended Technical workshop on JAVA Programming at IIIT Hyderabad.

• Participating in social activities.

STRENGTHS

• Good Communication and Interpersonal skills.

• Focused and Confident with positive attitude.

• Good team player.

• Self Motivated, Enthusiastic and open to learn new ideas.

• Hard work is always promised.

• Repeated research for improving self abilities.

PERSONAL DETAILS

Date of Birth : 21st April 1998

Permanent Address : H.No:4-2-247,Rotary Nagar,Khammam-507002 Nationality : Indian

Languages Known : English & Hindi

Declaration

I hereby declare that all the information given above are true to the best of my knowledge and belief. PLACE: Hyderabad (Sunil krishna Mandadapu)

DATE:

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